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Vol. 5 Núm. 1 (2025): Volume 5, Issue 1, Year 2025

Articles

Development and Validation of A New Anthropometric Predictive Equation For Estimating Fat Mass In Elite Male Soccer Players

  • Francesco Campa,
  • Alessio Rossi,
  • Giulia Martera,
  • Athos Trecroci,
  • Tindaro Bongiovanni
Francesco Campa
Department of Biomedical Sciences, University of Padua, Padua, Italy
Alessio Rossi
Computer Science, University of Pisa, Pisa, Italy and National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Pisa, Italy
Giulia Martera
Department of Performance Nutrition, Spezia Calcio, La Spezia, Italy
Athos Trecroci
Department of Biomedical Science for Health, University of Milan, Milan, Italy
Tindaro Bongiovanni
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
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DOI: https://doi.org/10.34256/ijk2519

Publicado 14-04-2025

Palabras clave

  • Antropometría,
  • Composición corporal,
  • Grasa corporal,
  • DXA,
  • Deporte,
  • Pliegues cutáneos
    • ...Más
    Menos

Cómo citar

Campa, F., Rossi, A., Martera, G., Trecroci, A., & Bongiovanni, T. (2025). Development and Validation of A New Anthropometric Predictive Equation For Estimating Fat Mass In Elite Male Soccer Players. La Revista Internacional De Cineantropometría, 5(1), 83–94. https://doi.org/10.34256/ijk2519

Derechos de autor 2025 Francesco Campa, Alessio Rossi, Giulia Martera, Athos Trecroci, Tindaro Bongiovanni

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

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Resumen

Introducción: El presente estudio tuvo como objetivo i) desarrollar y validar una ecuación antropométrica específica para el fútbol que permita predecir la masa grasa (MG) utilizando la absorciometría dual de rayos X (DXA) como método de referencia; ii) evaluar el rendimiento de las ecuaciones predictivas existentes específicas para el fútbol. Métodos: Ochenta futbolistas varones (edad 24,4 ± 5,4 años, IMC 23,7 ± 1,2 kg/m²) que participaban en la primera división italiana se sometieron a mediciones antropométricas y una DXA durante la temporada. Los participantes se dividieron en grupos de desarrollo y validación. El grupo de validación regresó para una segunda evaluación tres meses después y se incluyó en un análisis de validez longitudinal. Resultados: El modelo mejor desarrollado fue: FM (kg) = -9,905 + (suma de pliegues cutáneos de tríceps, cresta ilíaca, abdominal y muslo anterior (mm) × 0,175) + (circunferencia del muslo (cm) × 0,258) - (etnia × 1,577) - (edad (años) × 0,068), R2 = 0,73, error estándar de estimación (SEE) = 1,01 kg, donde la etnia es 1 para negro y 0 para blanco. La validación transversal mostró valores de r2 que van desde 0,71 a 0,72 con SEE igual a 0,80 kg y 0,86 kg para la línea base y la segunda evaluación, respectivamente. Los coeficientes de correlación de concordancia (CCC) fueron 0,84 al inicio y 0,86 en la segunda visita. El análisis de concordancia no mostró sesgo medio en ningún momento (p > 0,05) y límites de concordancia (LdA) inferiores al 95 %, que oscilaron entre -1,5 kg y 1,8 kg. La validación longitudinal demostró una alta precisión tanto a nivel grupal (r² = 0,80, SEE = 0,37 kg, CCC = 0,90) como individual (sesgo medio = 0,04 kg, LdA del 95 % = -0,7 kg a 0,8 kg, r = 0,117). Por el contrario, la MG estimada a partir de las ecuaciones predictivas existentes difirió de la DXA en todas las evaluaciones transversales y longitudinales, mostrando una menor precisión en comparación con la nueva ecuación. Conclusiones: Este estudio presenta una nueva ecuación predictiva específica para el fútbol basada en cuatro pliegues cutáneos y un perímetro, lo que permite una evaluación válida y específica del deporte de la MG a lo largo de la temporada competitiva.

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Citas

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